SOTAVerified

Denoising

Denoising is a task in image processing and computer vision that aims to remove or reduce noise from an image. Noise can be introduced into an image due to various reasons, such as camera sensor limitations, lighting conditions, and compression artifacts. The goal of denoising is to recover the original image, which is considered to be noise-free, from a noisy observation.

( Image credit: Beyond a Gaussian Denoiser )

Papers

Showing 14261450 of 7282 papers

TitleStatusHype
Devil is in the Uniformity: Exploring Diverse Learners within Transformer for Image RestorationCode1
CT-Mamba: A Hybrid Convolutional State Space Model for Low-Dose CT DenoisingCode1
LIPT: Latency-aware Image Processing TransformerCode1
Deterministic Image-to-Image Translation via Denoising Brownian Bridge Models with Dual ApproximatorsCode1
LIR: A Lightweight Baseline for Image RestorationCode1
DFormer: Diffusion-guided Transformer for Universal Image SegmentationCode1
Curriculum Disentangled Recommendation with Noisy Multi-feedbackCode1
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly DetectionCode1
Exploring the Loss Landscape in Neural Architecture SearchCode1
D4AM: A General Denoising Framework for Downstream Acoustic ModelsCode1
DETA: Denoised Task Adaptation for Few-Shot LearningCode1
Customizing 360-Degree Panoramas through Text-to-Image Diffusion ModelsCode1
CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation MethodCode1
DHP: Differentiable Meta Pruning via HyperNetworksCode1
CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from ImageCode1
M2DF: Multi-grained Multi-curriculum Denoising Framework for Multimodal Aspect-based Sentiment AnalysisCode1
M4Raw: A multi-contrast, multi-repetition, multi-channel MRI k-space dataset for low-field MRI researchCode1
DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion DelineationCode1
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game EncodingCode1
A Cheaper and Better Diffusion Language Model with Soft-Masked NoiseCode1
MagicMix: Semantic Mixing with Diffusion ModelsCode1
D4Explainer: In-Distribution GNN Explanations via Discrete Denoising DiffusionCode1
CycleISP: Real Image Restoration via Improved Data SynthesisCode1
Designing and Training of A Dual CNN for Image DenoisingCode1
Denoising Task Routing for Diffusion ModelsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81Unverified
2Pixel-shuffling DownsamplingPSNR38.4Unverified
3TWSCPSNR37.93Unverified
4CBDNet(Syn)PSNR37.57Unverified
5MCWNNMPSNR37.38Unverified
6Han et alPSNR35.95Unverified
7FFDNetPSNR34.4Unverified
8TNRDPSNR33.65Unverified
9CDnCNN-BPSNR32.43Unverified
10NLRNPSNR30.8Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61Unverified